DEV Community: sang - hoon Park

Tests that measure 'biological age' aren't helpful for tracking your health, scientists say

sang - hoon Park — Fri, 29 May 2026 17:19:56 +0000

🎥 Daily Weird Science & Space Mystery Shorts Story

Those expensive tests claiming to reveal your true "biological age" are a massive scientific illusion. Scientists are now warning that these popular tests are completely useless for tracking your individual health status. Here is the shocking truth. First, these biological aging tests are actually just statistical tools designed to study massive groups of people, not single individuals. Second, because they are meant for large populations, applying them to your personal health yields highly unreliable data. Third, leading researchers confirm that tracking your individual aging process with these tests provides no helpful medical insights. We are spending millions of dollars on a scientific trend that cannot actually tell us how healthy we are. If science cannot even use these tests to measure your personal health, are we just being scammed by the longevity industry? What do you think?

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Elgato Stream Deck Review

sang - hoon Park — Thu, 28 May 2026 22:30:39 +0000

Elgato Stream Deck Review

Introduction

The Elgato Stream Deck is a highly regarded tool in its market, renowned for its ability to customize and streamline workflows, making it an indispensable asset for various professionals, including developers who utilize AI in their work. Its compact design and ease of use have contributed to its popularity, allowing seamless integration with a wide range of devices.

Technical Breakdown

The Elgato Stream Deck boasts 15 LCD keys, which are fully customizable, enabling users to personalize their experience according to their specific needs. This feature significantly enhances the user experience by allowing for the creation of a tailored workflow that can be easily navigated. The device's compact design makes it ideal for use in various settings, from small home offices to large professional studios, without occupying excessive space. Its easy to use interface ensures that users can quickly adapt to the device, even those who are not tech-savvy. Furthermore, the Stream Deck is compatible with various devices, making it a versatile tool that can be integrated into existing workflows without requiring significant changes.

The Developer Perspective

For developers, the Elgato Stream Deck offers a unique set of benefits. Its customizability allows developers to create shortcuts and workflows that enhance their coding productivity. By streamlining tasks, developers can focus on the creative aspects of their work, leading to increased efficiency and better outcomes. The device's compatibility with various devices also ensures that it can be easily integrated into technical workspace environments, making it a valuable addition to any developer's toolkit. Moreover, the Stream Deck's ability to simplify complex workflows can lead to reduced fatigue during long-duration usage, contributing to a healthier and more sustainable work environment.

Final Verdict

In conclusion, the Elgato Stream Deck is a powerful tool that offers a compelling value proposition for developers and tech professionals. With its customizable LCD keys, compact design, ease of use, and compatibility with various devices, it has the potential to significantly enhance workflow efficiency and productivity. While specific metrics such as battery life are not provided in the current documentation, the Stream Deck's features and benefits make it a worthwhile investment for those seeking to streamline their tasks and improve their overall work experience. As such, the Elgato Stream Deck is a valuable asset for any developer or tech professional looking to elevate their workflow and productivity.

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'It's being promoted like there's absolutely no risk': Why some experts say melatonin should be considered a drug rather than a supplement

sang - hoon Park — Thu, 28 May 2026 17:17:09 +0000

🎥 Daily Weird Science & Space Mystery Shorts Story

That harmless sleep gummy you take every single night might actually be an unregulated drug in disguise. Millions of people use melatonin daily, thinking it is a completely risk-free natural supplement. But top medical researchers are now sounding the alarm, warning that it should actually be classified as a drug. Because it is sold as a simple supplement, there is almost zero strict quality testing. Shocking studies show some bottles contain wildly inaccurate dosages, far different from what is printed on the label. This means you could be accidentally overdosing your brain every single night without even knowing it. Experts are demanding immediate, strict safety testing and honest labeling before it is too late. Would you keep taking these sleep aids if they were officially labeled as prescription drugs? Let me know below.

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Bridging the Gap in Modern Workflows: How Developers Actually Use AI at Work with GitHub Copilot and ChatGPT

sang - hoon Park — Wed, 27 May 2026 18:11:52 +0000

Bridging the Gap in Modern Workflows: How Developers Actually Use AI at Work with GitHub Copilot and ChatGPT

Introduction: The AI & Software Evolution

The global developer community is currently navigating a massive paradigm shift, moving past the initial hype of artificial intelligence to ask a fundamental question: how are developers actually using AI at work? As major industry events like JSNation approach, the conversation has shifted from theoretical capabilities to practical, day-to-day integration. AI is no longer just a novelty; it is actively reshaping how software is architected, written, and maintained. To bridge this gap between raw AI potential and real-world engineering workflows, the guide AI-Assisted Programming with GitHub Copilot and ChatGPT: Learn to write code with AI assistants has emerged as a crucial resource. This intersection of cutting-edge AI trends and structured, practical education is exactly what modern development teams need to remain competitive in a rapidly evolving digital landscape.

Technical Breakdown & Capabilities

To truly understand how to leverage these technologies, developers must move beyond basic auto-complete functions. This guide provides a structured, five-chapter technical breakdown designed to solve real-world programming challenges. It begins with Chapter 1: Introduction to AI-assisted programming, establishing the foundational mechanics of how large language models interact with codebases. Moving into practical application, Chapter 2: Getting started with GitHub Copilot provides the technical setup and integration steps necessary to embed AI directly into the developer's IDE.

The true core of AI efficiency lies in communication, which is addressed in Chapter 3: Designing and writing prompts for code generation. This section solves the common problem of vague or incorrect AI outputs by teaching developers how to construct precise, context-aware prompts. Furthermore, because AI-generated code is not always perfect, Chapter 4: Testing and debugging AI-generated code provides critical methodologies for verifying and refining outputs. Finally, Chapter 5: Avoiding common pitfalls and security risks in AI coding addresses the vital technical challenge of maintaining code security, preventing intellectual property leaks, and ensuring that AI-generated suggestions do not introduce vulnerabilities into production environments.

The Developer & Productivity Perspective

For the modern tech professional, productivity is no longer measured solely by lines of code written, but by the speed and quality of problem-solving. Integrating tools like GitHub Copilot and ChatGPT into daily workflows fundamentally alters the developer experience. By automating repetitive boilerplate code and offering instant syntax suggestions, these AI assistants allow engineers to focus on high-level system architecture and complex business logic. This guide directly addresses this productivity shift by teaching developers how to manage AI-generated code quality effectively. Instead of spending hours debugging syntax or searching through documentation, developers can use structured prompting to generate functional code blocks, write unit tests faster, and debug complex errors in real-time. This transition from manual coding to AI-assisted orchestration represents a massive leap in digital productivity and operational efficiency.

Final Verdict: Is It Worth the Integration?

Ultimately, AI-Assisted Programming with GitHub Copilot and ChatGPT is an indispensable asset for any developer, software engineer, or technical lead looking to master the realities of modern software development. By providing a practical, authoritative guide on integrating AI assistants into daily programming workflows, it successfully demystifies how developers are actually using AI at work today. If you want to improve your productivity, maintain high code quality, and navigate the security risks of AI-generated code, this book is absolutely worth the integration. It is the definitive roadmap for transitioning from a traditional programmer to a highly efficient, AI-empowered software engineer.

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Solving the LLM Amnesia Crisis: A Deep Dive into Generative AI with LangChain

sang - hoon Park — Tue, 26 May 2026 00:00:28 +0000

Solving the LLM Amnesia Crisis: A Deep Dive into Generative AI with LangChain

Introduction: The AI & Software Evolution

In the rapidly evolving landscape of artificial intelligence, developers frequently encounter a frustrating limitation: Large Language Models (LLMs) eventually "forget" the context of ongoing conversations. This phenomenon, often discussed in developer communities tackling AI hallucinations, stems from strict context window limits and a fundamental lack of native persistent memory within LLMs. As users demand more sophisticated, multi-turn conversational agents, solving this memory deficit has become a critical engineering challenge. Enter Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs. This timely resource serves as a definitive guide to overcoming these architectural hurdles, bridging the gap between stateless AI models and stateful, context-aware applications.

Technical Breakdown & Capabilities

The book provides a highly structured, technical blueprint to resolve the memory limitations of modern LLMs. At its core, it offers detailed coverage of LangChain memory modules, specifically focusing on ConversationBufferMemory and ConversationSummaryMemory to effectively manage state. By understanding these modules, developers can choose between retaining raw conversational history or generating condensed summaries to preserve precious context space.

Furthermore, the text guides readers through a step-by-step implementation of Retrieval-Augmented Generation (RAG) using vector databases, which allows applications to query external knowledge bases and inject relevant facts directly into the prompt. To ensure these systems run efficiently, the book details techniques for optimizing prompt templates and managing LLM context windows. This is complemented by comprehensive integration guides for OpenAI, Hugging Face, and Cohere, alongside practical Python code examples for building chatbots that retain context, ensuring developers can implement these solutions across diverse ecosystem stacks.

The Developer & Productivity Perspective

For software engineers and AI architects, building context-aware applications from scratch can lead to significant technical debt and endless debugging cycles. By leveraging the structured methodologies in this book, developers can drastically improve their coding efficiency. Instead of manually writing complex state-management wrappers, engineers can utilize LangChain's standardized memory states and vector database integrations. The inclusion of ready-to-use Python code examples minimizes the time spent on trial-and-error, allowing teams to rapidly prototype and deploy production-ready chatbots. This systematic approach to managing context windows and optimizing prompt templates directly translates to lower API token consumption and highly predictable model behaviors, boosting overall digital productivity.

Final Verdict: Is It Worth the Integration?

Absolutely. Generative AI with LangChain is an indispensable asset for Python developers, AI engineers, and software architects who are actively battling the limitations of stateless LLMs. By addressing the root causes of why AI forgets user inputs and providing industry-standard solutions like RAG and LangChain memory states, this book equips professionals with the exact tools needed to build robust, intelligent applications. If you are looking to transition from basic prompt engineering to architecting sophisticated, memory-retaining LLM systems, this guide is a vital addition to your technical library.

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Ditching the Cloud for Gemma 4: How Building a Large Language Model From Scratch Empowers the Local AI Revolution

sang - hoon Park — Mon, 25 May 2026 03:00:25 +0000

Ditching the Cloud for Gemma 4: How Building a Large Language Model From Scratch Empowers the Local AI Revolution

Introduction: The AI & Software Evolution

The paradigm shift in artificial intelligence is no longer a distant projection; it is happening directly on local developer workstations. As highlighted by the recent trend of a DevOps engineer ditching cloud LLMs for Gemma 4 4B in a intense 48-hour reality check, the developer community is actively migrating away from restrictive, costly cloud APIs. However, successfully transitioning to local models requires more than just downloading weights; it demands a fundamental understanding of how these architectures function. This is where Sebastian Raschka's seminal book, Build a Large Language Model (From Scratch), published by Manning Publications in 2024, becomes an indispensable asset for modern engineers looking to reclaim control over their AI infrastructure.

Technical Breakdown & Capabilities

Raschka's guide provides a comprehensive guide to implementing a GPT-like LLM from scratch in PyTorch, offering a granular look under the hood of modern generative AI. Instead of treating models as black boxes, the book delivers detailed coverage of tokenization, attention mechanisms, and transformer architectures. By breaking down these core components, developers can understand exactly how data is processed and how attention layers weigh information.

Furthermore, the book transitions from theory to execution with practical instructions for pretraining and fine-tuning models on custom datasets. This is critical for developers who need to adapt open-source models to specific domain tasks. Crucially for the local AI movement, Raschka details techniques for loading and running open-source pretrained weights locally, bridging the gap between custom-built architectures and existing state-of-the-art open-source weights.

The Developer & Productivity Perspective

For DevOps engineers and software developers, the ability to run models locally is a game-changer for productivity and security. Relying on cloud LLMs introduces latency, unpredictable API costs, and severe data privacy concerns. By mastering the concepts in Build a Large Language Model (From Scratch), developers gain the deep technical foundation needed to deploy, optimize, and run open-source LLMs locally on their own infrastructure. This knowledge allows teams to build highly optimized pipelines, customize tokenizers for proprietary codebases, and fine-tune models without exposing sensitive data to third-party cloud providers. The result is a highly efficient, self-hosted development workflow that operates independently of external network dependencies.

Final Verdict: Is It Worth the Integration?

Absolutely. As the industry trends toward local, highly efficient models like Gemma 4, Sebastian Raschka's book is a vital roadmap. It is highly relevant to any developer or DevOps engineer looking to bypass cloud API costs and privacy concerns. If you want to transition from a mere consumer of AI APIs to an engineer capable of deploying, optimizing, and running local open-source LLMs on your own infrastructure, Build a Large Language Model (From Scratch) is an essential addition to your technical library.

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Architecting Smarter Feeds: How Google Gemini for Python Empowers the Next Generation of Community-Driven Algorithms

sang - hoon Park — Sun, 24 May 2026 10:46:57 +0000

Architecting Smarter Feeds: How Google Gemini for Python Empowers the Next Generation of Community-Driven Algorithms

Introduction: The AI & Software Evolution

Finding the right balance for a feed algorithm is historically one of the most complex challenges in platform engineering. As major platforms like DEV transition toward using Gemini Embeddings to build smarter, community-driven feeds, developers are faced with a steep learning curve. The intersection of raw data processing and generative AI requires a robust understanding of both programming fundamentals and API orchestration. This is where the book Google Gemini for Python: Coding with Bard (MLI Generative AI Series) becomes an essential asset, bridging the gap between theoretical machine learning concepts and practical, production-ready Python implementations.

Technical Breakdown & Capabilities

To build intelligent recommendation engines, developers must first master data manipulation and API integration. This guide delivers a comprehensive introduction to Python 3 programming fundamentals, focusing on core data structures and essential libraries like NumPy and Pandas. These libraries are critical for preprocessing community data and managing datasets before they are sent to embedding models.

Furthermore, the book provides a deep dive into Generative AI concepts, Google Bard, and the Google Gemini model architecture. By understanding the underlying architecture, developers can better leverage Gemini's capabilities. The text offers step-by-step guides on generating, debugging, and optimizing Python 3 code using Gemini, alongside practical examples of integrating Gemini APIs into Python applications for automation and content generation. To ensure hands-on mastery, readers gain access to downloadable companion files, including code samples, datasets, and source code from the book.

The Developer & Productivity Perspective

For modern software engineers, productivity is defined by how quickly one can transition from a conceptual algorithm to a working prototype. By utilizing the step-by-step integration guides, developers can rapidly write clean code to calculate semantic similarity and generate embeddings. The ability to use Gemini itself to debug and optimize Python code creates a highly efficient feedback loop. Instead of spending hours troubleshooting API payloads or data formatting errors in Pandas, developers can leverage generative AI to streamline their workflows, allowing them to focus on refining the feed's recommendation logic and community engagement metrics.

Final Verdict: Is It Worth the Integration?

For developers aiming to replicate or build upon DEV's approach to community-driven feeds, Google Gemini for Python: Coding with Bard is an invaluable resource. It successfully demystifies the process of interacting with Gemini's API, processing datasets, and building intelligent recommendation systems. Whether you are a software engineer looking to integrate semantic search or a data professional building advanced content feeds, this book provides the exact foundational skills and practical code templates required to succeed in the era of cognitive software applications.

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Logitech MX Master 3S Wireless Mouse Review

sang - hoon Park — Fri, 22 May 2026 07:28:46 +0000

Logitech MX Master 3S Wireless Mouse Review

Introduction

In the world of software engineering, your input devices are the direct interface between your thoughts and the codebase. While mechanical keyboards often dominate the workspace conversation, finding the perfect mouse is just as critical for maintaining a fluid, ergonomic workflow. The Logitech MX Master 3S has firmly established itself as the premier ergonomic mouse for developers, system administrators, and IT professionals who require precision, comfort, and deep software integration during marathon coding sessions.

Technical Breakdown

The MX Master 3S is packed with highly engineered features designed to eliminate friction from your daily desktop interactions:

8,000 DPI Darkfield High-Precision Sensor: This advanced sensor offers pixel-perfect tracking on virtually any surface—including glass. The high sensitivity allows you to traverse massive screen real estate with minimal physical hand movement.
Quiet Clicks Technology: Engineered to reduce click noise by 90% compared to its predecessor, this tactile switch technology provides satisfying physical feedback without the distracting acoustic clutter, making it ideal for quiet offices or late-night home setups.
MagSpeed Electromagnetic Scroll Wheel: This wheel can scroll up to 1,000 lines per second. It automatically shifts from a precise, ratcheted line-by-line mode to a frictionless, silent free-spin, allowing you to fly through massive log files or database schemas instantly.
Easy-Switch and Flow Technology: This feature enables seamless multi-pairing with up to 3 devices. With Logitech Flow, you can move your cursor across physical screens and even copy-paste files, text, and images directly between different operating systems.
USB-C Fast Charging: A single full charge via the modern USB-C port keeps the mouse powered for up to 70 days. If you do run low, a rapid 1-minute charge provides 3 hours of use, ensuring you are never locked out of your workflow.

The Developer Perspective

For developers, the MX Master 3S is a force multiplier for productivity. Navigating thousands of lines of code in an IDE becomes an effortless experience thanks to the MagSpeed scroll wheel. When combined with the Logi Options+ software, you can map custom, application-specific shortcuts to the side buttons—such as executing terminal commands, switching virtual desktops, or navigating Git history.

The 8,000 DPI sensor is a game-changer for modern multi-monitor or ultra-wide setups, allowing you to glide across multiple 4K displays with subtle wrist movements, reducing long-term strain. Furthermore, the Flow technology solves a common developer pain point: seamlessly bridging the gap between a Windows development rig and a macOS testing machine without needing a hardware KVM switch.

Final Verdict

The Logitech MX Master 3S is more than just a pointing device; it is an essential productivity tool tailored for power users. By combining whisper-quiet operation, unmatched scrolling speed, and robust multi-OS integration, it easily justifies its spot on any developer's desk. If you want to optimize your workspace ergonomics and streamline your daily coding workflow, this is the absolute best mouse on the market today.

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Apple AirPods Max 2 Wireless Over-Ear Headphones Review

sang - hoon Park — Thu, 21 May 2026 15:07:45 +0000

Apple AirPods Max 2 Wireless Over-Ear Headphones Review

Introduction

The Apple AirPods Max 2 Wireless Over-Ear Headphones have seen a significant surge in sales rank over the past 24 hours, indicating their immense popularity and potential to become a best-seller. This suggests that the market is responding positively to the features and capabilities of these headphones, making them a worthwhile consideration for anyone in the market for high-quality wireless over-ear headphones.

Technical Breakdown

The Apple AirPods Max 2 Wireless Over-Ear Headphones boast several key features that enhance the user experience. Active Noise Cancellation is a crucial aspect of these headphones, allowing users to fully immerse themselves in their music or work without distractions from their surroundings. This feature is particularly useful in noisy environments, where it can help reduce ambient noise and improve overall audio quality. The Adaptive Audio feature takes this a step further by adjusting the audio settings based on the user's environment, ensuring an optimal listening experience regardless of where they are. Additionally, Personalized Spatial Audio provides a more immersive and engaging audio experience, making it feel as though the sound is coming from all around the user. The headphones also feature Live Translation, which can be incredibly useful for users who frequently interact with people who speak different languages. Finally, the fact that they are Bluetooth Headphones for iPhone makes them incredibly convenient for users who are already invested in the Apple ecosystem, allowing for seamless connectivity and easy pairing.

The Developer Perspective

From a developer's perspective, the Apple AirPods Max 2 Wireless Over-Ear Headphones offer several benefits that can enhance productivity and workflow. The Active Noise Cancellation feature can be particularly useful in noisy office environments or coffee shops, allowing developers to focus on their work without distractions. The Adaptive Audio feature can also help reduce fatigue during long coding sessions, as it can help reduce the strain on the user's ears. Additionally, the Personalized Spatial Audio feature can be useful for developers who work with audio or video content, as it can provide a more immersive and engaging experience. The Live Translation feature can also be useful for developers who work with international teams or clients, allowing for more effective communication and collaboration.

Final Verdict

In conclusion, the Apple AirPods Max 2 Wireless Over-Ear Headphones offer a compelling value proposition for both everyday users and developers. With their Active Noise Cancellation, Adaptive Audio, Personalized Spatial Audio, Live Translation, and Bluetooth connectivity, these headphones provide a powerful and convenient audio solution that can enhance productivity, workflow, and overall user experience. While specific metrics such as battery life are not provided in the current documentation, the features and capabilities of these headphones make them a worthwhile consideration for anyone in the market for high-quality wireless over-ear headphones.

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Apple AirPods Pro 3 Wireless Earbuds Review

sang - hoon Park — Thu, 21 May 2026 14:21:27 +0000

Apple AirPods Pro 3 Wireless Earbuds Review

Introduction

The Apple AirPods Pro 3 Wireless Earbuds have solidified their position as a top choice among wireless earbuds, boasting an impressive 4.5-star rating and over 9,000 reviews on Amazon. This popularity can be attributed to their advanced features and high-quality performance, making them an attractive option for those seeking a premium wireless earbud experience.

Technical Breakdown

The Apple AirPods Pro 3 Wireless Earbuds come equipped with several key features that enhance the user experience. Active Noise Cancellation is a standout feature, allowing users to fully immerse themselves in their music or podcasts by blocking out background noise. Additionally, Live Translation enables seamless communication across languages, breaking down barriers and facilitating global connections. The Heart Rate Sensing feature provides an added layer of health monitoring, while the Hearing Aid Feature ensures that these earbuds are accessible to a wider range of users. As Bluetooth Headphones, they offer convenient wireless connectivity, and with Spatial Audio and High-Fidelity Sound, users can enjoy an immersive audio experience. The earbuds also feature USB-C Charging, providing a modern and efficient charging solution.

The Developer Perspective

For developers and tech professionals, the Apple AirPods Pro 3 Wireless Earbuds offer several benefits that can enhance productivity and workflow. The Active Noise Cancellation feature is particularly useful in noisy office environments or coffee shops, allowing developers to focus on their code without distractions. The Live Translation feature can also facilitate communication with international team members or clients. Furthermore, the Heart Rate Sensing feature can help developers monitor their stress levels and take breaks when needed, promoting a healthier work-life balance. The Hearing Aid Feature ensures that developers with hearing impairments can also utilize these earbuds, making them a more inclusive option.

Final Verdict

In conclusion, the Apple AirPods Pro 3 Wireless Earbuds offer a compelling value proposition for both general users and developers. With their advanced features, high-quality sound, and convenient design, they are an excellent choice for anyone seeking a premium wireless earbud experience. While specific metrics such as battery life are not provided in the current documentation, the overall package of features and performance makes these earbuds a strong contender in the market. Overall, the Apple AirPods Pro 3 Wireless Earbuds are a highly recommended option for those looking to upgrade their audio experience.

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Sony WH-1000XM6 Review

sang - hoon Park — Tue, 19 May 2026 13:00:24 +0000

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Introduction

The Sony WH-1000XM6 is a top-notch wireless headphone that has garnered attention for its impressive features. With class-leading ANC and superb sound quality, this device is a game-changer for music lovers and professionals alike.

Technical Breakdown

Key features of the Sony WH-1000XM6 include:

Impressive battery life
Superb sound quality
Class-leading ANC
Customizable sound
Long battery life
Comfortable, travel-friendly design
Specific metric for battery life not provided in current documentation

The Developer Perspective

For developers, comfortable and high-quality audio equipment is essential for long coding sessions. The Sony WH-1000XM6 delivers superb sound quality, allowing coders to focus on their work without distractions. Additionally, the customizable sound feature enables developers to tailor their audio experience to their specific needs.

Final Verdict

In conclusion, the Sony WH-1000XM6 is a top-of-the-line wireless headphone that combines class-leading ANC, customizable sound, and long battery life in a comfortable, travel-friendly design. Its features make it an ideal choice for developers and music enthusiasts alike.

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Soundcore AeroFit Pro 2 Review

sang - hoon Park — Mon, 18 May 2026 17:01:12 +0000

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Introduction

The Soundcore AeroFit Pro 2 earbuds offer an impressive combination of sound quality, battery life, and affordability. With their sleek design and compact size, they are an excellent option for those seeking high-quality earbuds without breaking the bank.

Technical Breakdown

Up to 24 hours of battery life with 9 hours of playtime on a single charge
Active noise cancellation for an immersive listening experience
IPX5 water resistance for protection against sweat and water
Lightweight design for comfortable wear

The Developer Perspective

As a developer, you likely spend long hours coding and listening to music or podcasts. The Soundcore AeroFit Pro 2 earbuds are an excellent choice due to their long battery life and excellent sound quality. The active noise cancellation feature is also beneficial for focusing on code without distractions.

Final Verdict

The Soundcore AeroFit Pro 2 earbuds offer a great balance of sound quality, battery life, and affordability. While they may not have all the features of more expensive earbuds, they are an excellent option for developers and tech enthusiasts seeking a reliable and affordable pair of earbuds.

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